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NumPy Cookbook

You're reading from   NumPy Cookbook If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.

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Product type Paperback
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Length 226 pages
Edition 1st Edition
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Toc

Table of Contents (17) Chapters Close

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts FREE CHAPTER 3. Get to Grips with Commonly Used Functions 4. Connecting NumPy with the Rest of the World 5. Audio and Image Processing 6. Special Arrays and Universal Functions 7. Profiling and Debugging 8. Quality Assurance 9. Speed Up Code with Cython 10. Fun with Scikits Index

Generating sounds


A sound can be represented mathematically by a sine wave, with a certain amplitude, frequency, and phase. We can randomly select frequencies from a list specified on Wikipedia at http://en.wikipedia.org/wiki/Piano_key_frequencies that complies with the following formula:

The variable n in this formula is the number of the piano key. We will number the keys from 1 to 88. We will also select the amplitude, duration, and phase at random.

How to do it...

We will begin by initializing random values, then generate sine waves, compose a melody, and finally, plot the generated audio data with Matplotlib.

  1. Initialization.

    Initialize to random values:

    • the amplitude between 200 to 2000,

    • the duration to 0.01 to 0.2,

    • the frequencies using the formula already mentioned

    • the phase to values between 0 and 2 pi

    • NTONES = int(sys.argv[1])

      amps = 2000. * numpy.random.random((NTONES,)) + 200.
      durations = 0.19 * numpy.random.random((NTONES,)) + 0.01
      keys = numpy.random.random_integers(1, 88, NTONES)
      freqs...
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